Triple

T6595523
Position Surface form Disambiguated ID Type / Status
Subject Regent Square E148464 entity
Predicate partlyInMunicipality P8403 FINISHED
Object Wilkinsburg Borough E514934 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Wilkinsburg Borough | Statement: [Regent Square, partlyInMunicipality, Wilkinsburg Borough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilkinsburg Borough
Context triple: [Regent Square, partlyInMunicipality, Wilkinsburg Borough]
  • A. Wilkinsburg chosen
    Wilkinsburg is a borough in Allegheny County, Pennsylvania, known as an inner-ring suburb directly east of Pittsburgh.
  • B. Monessen
    Monessen is a small industrial city in western Pennsylvania historically known for its steel production along the Monongahela River.
  • C. Upper St. Clair
    Upper St. Clair is a suburban township in southwestern Pennsylvania known for its affluent residential character and highly ranked public school system.
  • D. Millcreek Township
    Millcreek Township is a suburban municipality in Erie County, Pennsylvania, known for surrounding much of the city of Erie and serving as a major residential and commercial area in the region.
  • E. Bethel Park
    Bethel Park is a suburban municipality in southwestern Pennsylvania, located just south of Pittsburgh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6d0a262808190a33ac94374affde4 completed March 27, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7006b27f08190b06427480689bdbd completed March 27, 2026, 10:10 p.m.
Created at: March 27, 2026, 1:55 p.m.